Structured sensing for estimation of high-dimensional data
Efficient estimation and processing of high-dimensional data is important in many scientic and engineering domains. In this thesis, we explore structured sensing methods for high-dimensional signal in three different perspectives: structured random matrices for compressed sensing and corrupted sensi...
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Imperial College London
2016
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.721557 |